---
title: "Dashboard"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: fill
source: embed
theme: cerulean
---
```{r, include=FALSE}
library(flexdashboard)
library(tidyverse)
library("p8105.datasets")
library(plotly)
data("instacart")
```
Column {data-width=500}
-----------------------------------------------------------------------
### Chart A
```{r}
instacart %>%
filter(department == "alcohol") %>%
count(product_name, aisle) %>%
mutate(rank = min_rank(rank(desc(n))),
aisle = recode(aisle,
"beers coolers" = "Beer",
"red wines" = "Red Wine",
"specialty wines champagnes" = "Specialty Wines/Champagnes",
"spirits" = "Spirit",
"white wines" = "White Wine")) %>%
filter(rank < 50) %>%
mutate(product_name = fct_rev(fct_reorder(product_name, n))) %>%
plot_ly(x = ~product_name, y = ~n, color = ~aisle, type = "bar", colors = "Set2") %>%
layout(title = "Top 50 Ordered Alcoholic Beverages",
xaxis = list(title = "Name of Product"),
yaxis = list(title = "Number Ordered"),
legend = list(x = 0.5, y = 0.9),
hoverlabel = list(bordercolor = "transparent",
font = list(color = "white")))
```
Column {data-width=500}
-----------------------------------------------------------------------
### Chart B
```{r}
instacart %>%
filter(department == "alcohol") %>%
count(product_name, aisle) %>%
mutate(rank = min_rank(rank(desc(n))),
aisle = recode(aisle,
"beers coolers" = "Beer",
"red wines" = "Red Wine",
"specialty wines champagnes" = "Specialty Wines/Champagnes",
"spirits" = "Spirit",
"white wines" = "White Wine")) %>%
filter(rank <= 100) %>%
plot_ly(y = ~n, color = ~aisle, type = "box", colors = "Set2") %>%
layout(title = "Frequency of Orders by Type of Alcohol",
xaxis = list(title = "Type of Alcohol"),
yaxis = list(title = "Number Ordered"),
hoverlabel = list(bordercolor = "transparent",
font = list(color = "white")))
```
### Chart C
```{r}
instacart %>%
filter(department == "alcohol") %>%
count(aisle, order_hour_of_day) %>%
mutate(aisle = recode(aisle,
"beers coolers" = "Beer",
"red wines" = "Red Wine",
"specialty wines champagnes" = "Specialty Wines/Champagnes",
"spirits" = "Spirit",
"white wines" = "White Wine"),
text_label = str_c("Time of Day: ", order_hour_of_day, "\nNumber Ordered: ", n)
) %>%
plot_ly(
x = ~order_hour_of_day, y = ~n, type = "scatter", mode = "line",
color = ~aisle, text = ~text_label, colors = "Set2"
) %>%
layout(title = "Frequency of Orders by Hour of Day",
xaxis = list(title = "Hour of Day"),
yaxis = list(title = "Number Ordered"),
hoverlabel = list(bordercolor = "transparent",
font = list(color = "white")))
```